The Experimental Studies of Physical Simulation of Bottom Water Reservoirs 
With Barrier and Permeable Interbed on Horizontal Well

Dou, Haiyang; Lian, Shengjiang; Chang-zhi, Guan

doi:10.2523/55995-ms

Cited by 2 publications

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“…Several wells in bottom water reservoirs have shown they are not influenced by underlying high-saturation water zones due to the presence of frequent horizontal shale breaks (16) . Experimental studies in 2D on water coning under horizontal wells in the presence of impermeable streaks indicated that, compared with impermeable barriers, weak permeable barriers result in both higher water-free recovery and ultimate oil recovery (19,20) . Previous numerical simulation studies have shown that in bottom water reservoirs, the barrier helped increase oil recovery by delaying the water breakthrough time and decreasing water cut (17,18) .…”

Section: Introductionmentioning

confidence: 99%

An Insight Into Development of Bottom Water Reservoirs

Zhao

Liu

2006

Journal of Canadian Petroleum Technology

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While water production is an inevitable consequence in bottom water reservoirs, it is usually desirable to defer the onset or the rise of water coning as long as possible. Numerous mechanical and chemical methods have been applied to achieve this goal over recent decades. This paper presents new insights into improving oil production and reducing water production by considering flow barriers below horizontal well trajectories in formation regions with low permeabilities, especially natural ones such as shale bodies. A 3D numerical simulation that applies the Computer Modelling Group's (CMG) STARS Simulator as a cost-effective way to investigate the effects of barriers on horizontal well performance in a bottom water reservoir has been conducted. More specifically, the effects of permeability, dimension, and position of barriers have been comprehensively analyzed when a horizontal well is implemented as a producer. The simulation results have shown that if barriers exist below a horizontal producer, water cut can be postponed and reduced greatly, and cumulative oil production can be increased. Cumulative water production can be decreased dramatically as well. To broaden the applicability of this new insight, some of the possible field implementing technologies, including fractured horizontal wells, small-scale CO2 injection, and solvent injection, are qualitatively simulated to determine their applicability for developing heavy oil in bottom water reservoirs using horizontal wells with the presence of barriers. The simulation results have shown that much better well performance can be reached with the help of barriers when these technologies are integrated systematically. This new strategy shows a rather promising and economic way to develop bottom water reservoirs where the natural driving energy of the aquifer could benefit the oil production process. The results and understanding acquired from this study offer insights into the development of bottom water reservoirs. Introduction Water coning is a critical issue for conventional vertical well production in bottom water reservoirs. Generally speaking, the fluid production process creates a low-pressure region around the wellbore in the reservoir. This differential pressure causes the oilwater interface to deform into a cone shape, at which time the less viscous water phase is produced in preference to the more viscous oil phase. Consequently, the producing Water-Oil Ratio (WOR) increases quickly and readily reaches an uneconomic level. Darcy's law is still the fundamental principle behind this phenomenon. In the past, many researchers have conducted experimental, analytical, and numerical studies on water coning behaviour in vertical wells. Muskat and Wyckoff(1) published one of the early studies related to water coning in 1935. They observed that water coning is a rate-sensitive process and determined the critical oil rate, which is the maximum water-free production rate, by neglecting the shape of the cone. Later on, researchers(2, 3) directed their studies toward the calculation of the critical oil rate. Guo and Lee(4) indicated that the critical rate does not occur at zero wellbore penetration, as may intuitively be expected, but at a wellbore penetration of about one-third of the total oil-zone thickness for an isotropic reservoir.

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Section: Introductionmentioning

confidence: 99%

An Insight Into Development of Bottom Water Reservoirs

Zhao

Liu

2006

Journal of Canadian Petroleum Technology

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“…), and widely used in development scenario plan for various kinds of oilfileds, show good results. The third one use physical simulation to study the water coning behavior and to determine the affecting factors of horizontal well production (Aulie, 1993;Permadi, 1995Permadi, , 2010Jiang, 1998;Dou, 1999;Wang, et al, 2007.). The last one use optimized methods or model to determine the production parameters and well location (Fan, et al, 1997;Chen, et al, 2003;Chen and Zheng, 2004;Ni and Cheng, 2005;Fu, et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

An Optimization Model to Determine Horizontal Well Location and Parameters for Strong Bottom Water Reservoir in Sudan

Wú¹,

Rao²,

Li³

et al. 2012

All Days

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The purpose of this study is to develop a horizontal well closed-looped optimization model for enhancing ultimate recovery of strong bottom water reservoir in Sudan.An optimization model for horizontal well using the statistical properties of geology and development data, numerical simulation and fuzzy mathematics, is presented. The study was carried out as follows: 1) a mechanism model was established based on physical and fluid properties of the oilfields in Block 1/2/4, Sudan. The factors affecting the development performance of horizontal well, such as reservoir and fluid properties, inter-beds distribution, parameters of horizontal segment and production rate were discussed. 2) Development performance of typical massive bottom water reservoir in Sudan was analyzed.3) The weight of each factor was determined using fuzzy mathematics method based on the mechanism study and on site practice of horizontal wells. 4) Determine the optimized location and production parameters of horizontal well by combining numerical simulation and integrated evaluation model.The optimization model was used in H oilfield of Block 1/2/4, Sudan, the result of numerical simulation show that this model can efficiently determine the location of horizontal well and can lead to increase oil production in bottom water reservoir. It can also give a reference for numerical simulation, and have a great improve place.

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The Experimental Studies of Physical Simulation of Bottom Water Reservoirs With Barrier and Permeable Interbed on Horizontal Well

Cited by 2 publications

References 0 publications

An Insight Into Development of Bottom Water Reservoirs

An Insight Into Development of Bottom Water Reservoirs

An Optimization Model to Determine Horizontal Well Location and Parameters for Strong Bottom Water Reservoir in Sudan

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